KR101419753B1 - Medicine retrieval system minimized individual side-effects based on private single nucleotide polymorphism and the method thereof - Google Patents

Abstract

Disclosed is a system and method for minimizing individual side effects based on individual single nucleotide polymorphisms. The present invention comprises a personal drug adverse event database including individual SNP information extracted from individual nucleotide sequence information, and then inputs a product name or a component name of a drug to be searched at the time of prescription or purchase, The components are searched and the searched components are individually inquired into the individual side effects DB of the drug to search for the side effects and the degree of side effects and the result is outputted in order of the risk of side effects so that the prescription of the composition with the lowest side effect risk There is an effect that a pharmacist can write.

Description

FIELD OF THE INVENTION [0001] The present invention relates to a drug discovery system and a method thereof, and more particularly, to a drug discovery system and a method thereof for minimizing individual side effects based on individual single nucleotide polymorphisms.

The present invention relates to a system and a method for minimizing a side effect of a drug, and more particularly, to a system or a method for minimizing a side effect of a drug, The present invention relates to a system and method for minimizing individual side effects based on individual single nucleotide polymorphisms that search for and provide drugs.

With the development of medicine, the average life span of people is increasing. As the elderly population gradually increases, the physical ability is decreased and various diseases are suffered.

In general hospitals or clinics, after a doctor treats a patient, a prescription for medicines is issued. This prescription is made by the expertise and experience of a doctor or pharmacist.

A prescription written by a doctor or pharmacist may contain more than one medicament, and the ingredients of each of these medicines may interact with each other.

Therefore, when a doctor delivers a prescription and a prescription to a pharmacist according to the result of the examination, the pharmacist prepares the medicine in a state of knowing the doctor's prescription and precautions and delivers the medicine to the patient. At this time, Should be given to the patient.

In other words, it is important for the doctor to prescribe the medication reported to the academy that the side effects of the prescription of medication are few, so as to avoid side effects.

A conventional technology for prescribing a medicinal prescription system for preventing a burnout accident is disclosed in Korean Patent Laid-Open Publication No. 2002-90775.

FIG. 1 is a diagram for explaining a method of prescribing a pseudo drug according to the experience of the prior art. As shown in FIG. 1, the doctor considers all prescription drugs for a specific symptom or disease (S11) Depending on the experience of the patient and the recently reported clinical results, we will select and prescribe the drugs with the least side effects (S12) and observe whether the symptoms improve.

Symptoms may be improved without serious side effects. However, if there is no room for improvement with severe side effects (S13), it is necessary to repeat the steps of reviewing and prescribing other drugs other than the prescribed medicine.

Even if the odds of a side effect are only a few percent, the prescribed patient may have a certain percentage of side effects, or even a drug known to have a high probability of side effects, may be the best effect for some patients.

Therefore, finding medicines that are appropriate for individual patients is a revolutionary task in the medical field.

As such, the reason why individuals show different drug responses is that they are caused by differences in human DNA by about 0.1 ~ 0.2%. This is not only a drug, but also because of differences in race and geographical features. This is called single nucleotide polymorphism (SNP).

In other words, SNP (Single Nucleotide Polymorphism) refers to one or several nucleotide sequence changes indicating the variation of individuals among the 3 billion nucleotide sequences of the chromosomes in the nucleus. The difference in SNPs by 0.1% .

At the time of the first publication of the human nucleotide sequence published in 2000, it was not possible to analyze the nucleotide sequence for any individual since the entire nucleotide sequence analysis was possible only at the national cost and manpower input.

However, through breakthrough technology development, individual sequence sequencing has become commercially available, allowing for sequencing of individual sequences at an affordable price ($ 5,000 or less for Knome, Inc. as of 2012).

As the amount of SNP increases, related drug side effects and disease related research are actively under way. Since these results are continuously registered in SNP databases such as dbSNP, SNPedia, and pharmgkb, it is easy to see any diseases, drugs, chemicals, vaccines, or any side effects using these databases after individual sequence analysis.

FIG. 2 is a flow chart of a procedure for analyzing a base sequence of an individual. In order to analyze the base sequence, a part of a body tissue capable of DNA extraction of an individual is submitted to a base sequence analyzing company for analyzing the base sequence (S21).

The analytical company analyzes the base sequence composed of letters of A (adenine), G (guanine), C (cytosine) and T (thymine) with a part of this tissue (S22).

In general, a report is prepared by examining the genetic disease association such as cancer with this nucleotide sequence (S23).

Such a report is used by a doctor to refer to a treatment for disease treatment or symptom improvement and to utilize it for treatment (S24).

However, since the personal sequencing reports are reported by SNPs rather than by drugs, or by only reporting the risk of a specific disease, the physician must re-search all the information related to prescription drugs and use the information It is troublesome to determine which medicine to prescribe in comparison.

Therefore, a doctor prescribes a medicine for a patient. In order to utilize the nucleotide sequence information effectively, a system for searching drugs by side-effect based on nucleotide sequence information is needed.

In addition, even if you take medication that can be purchased without a prescription, slight side effects of medication may occur. Since purchasing without consulting a doctor is always dangerous, it is effective for people without medical knowledge to search for drugs There was a need to do.

In order to solve such problems, the present invention provides a system and a method for minimizing individual side effects based on individual single nucleotide polymorphisms, which can search for drugs with the same anticipatory effect among anticipated genetic information floods .

It is another object of the present invention to provide a system and method for minimizing individual side effects based on individual single nucleotide polymorphism, which enables drug purchasing without prescription to identify drug side effects.

In order to solve such a problem, a personal drug side effect DB component including individual SNP (Single Nucleotide Polymorphism) information extracted from the individual base sequence information of the present invention, a drug component database The drug searching system includes a search unit for searching the drug composition database for at least one of a drug name, a component name, a therapeutic purpose, and a pharmaceutical company, based on individual single nucleotide polymorphisms, And a side effect retrieval unit for retrieving individual SNP information by querying the personal drug side effect DB constructing unit for the side effects and the degree of side effects and outputting the retrieved results in descending order of the risk of side effects.

In addition, the SNP DB further includes a SNP DB consisting of information on any one or more of disease, clinical information, or side effects of drug information, and the individual drug side effect DB constructing unit constructs a drug side effect database for each SNP by querying the SNP DB .

Also, the personal drug adverse effect DB constructing unit includes an SNP input unit for inputting SNP ID and SNP base information, and an SNP DB for searching for the SNP DB using the SNP ID and SNP input from the SNP input unit, And a personal drug adverse effect database storing the SNP information if it is determined that the SNP related drug side effect information exists.

The side effect searching unit includes a DB interface unit for receiving the drug effect names having the same effect with the expected effect or the product name retrieved from the retrieval unit and querying the personal drug side effect database for the presence of a potential side effect SNP, And an output unit for outputting the comparison result of the comparison operation unit in order of decreasing risk. The side effect comparison operation unit may be configured such that when the search result side effect is detected in the DB interface unit , The occurrence frequency of the side effect, and the risk score according to the result.

Meanwhile, a personal drug adverse effect database including individual SNP (Single Nucleotide Polymorphism) information extracted from the individual nucleotide sequence information according to an embodiment of the present invention, and a drug component DB (A) constructing the individual drug side effect database and the drug ingredient database; (b) searching for the inputted same kind of drug in the drug ingredient database, (C) querying the personal drug side effect database for the same type of medicines searched in step (b), (d) searching for a SNP that has a potential side effect of inquiry, and (e) (d), when a SNP having a side effect is searched, a risk score may be given to the SNP based on the occurrence frequency of the side effect and the result.

The personal drug adverse effect database includes the steps of (a-1) inputting SNP ID and SNP base information, which are SNP information of the customer, through the SNP input unit, (a-2) (A-3) searching SNP DB for SNP DB by searching SNP DB in which SNP ID, disease information, clinical information, and side effects of drug information are recorded for each SNP ID; As a result, SNP-related adverse drug-related information should be stored and constructed.

The individual drug side effects database is constructed from one or more of the following information: drug name, SNP ID, SNP allele, side effects / frequency, and side effect results. Drug component database is composed of classification code, drug name, , The number of times of administration, the usage, or the information of the manufacturer or the like is linked to each other to form a table.

In addition, when a search result side effect is detected, a risk score is given according to the appearance frequency of the side effect and the result, and the risk of the side effect is outputted in descending order of risk.

Therefore, according to the system and method for minimizing individual side effects based on the individual single nucleotide polymorphism of the present invention, it is possible to retrieve and prescribe a drug having the lowest probability of side effect based on individual genetic information.

In addition, according to the system and method for minimizing individual side effects based on the individual single nucleotide polymorphism of the present invention, when a doctor prescribes a drug or an individual purchases a drug without prescription, it has an effect of improving the therapeutic effect and protecting it from the risk of side effects have.

According to the system and method for minimizing individual side effects based on the individual single nucleotide polymorphism of the present invention, the doctor can shorten the time for determining a drug to be prescribed through a method of searching for and comparing drugs mainly, Thereby contributing to high-quality medical services.

FIG. 1 is a flow chart for explaining a method of prescribing a pseudo drug according to a conventional doctor's experience;
FIG. 2 is a flow chart of a procedure for analyzing a base sequence of a conventional individual,
FIG. 3 is a block diagram of a system for minimizing individual side effects based on the individual single nucleotide polymorphism of the present invention. FIG.
FIG. 4 is a flowchart illustrating a process of constructing a personal drug adverse effect database of the present invention;
And,
FIG. 5 is a flowchart for explaining an adverse effect prescription step of the present invention. FIG.

It is to be understood that the words or words used in the present specification and claims are not to be construed in a conventional or dictionary sense and that the inventor can properly define the concept of a term in order to describe its invention in the best possible way And should be construed in light of the meanings and concepts consistent with the technical idea of the present invention.

Throughout the specification, when an element is referred to as "comprising ", it means that it can include other elements as well, without excluding other elements unless specifically stated otherwise. It should be noted that the terms such as " part, "" module, " .

Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

As shown in FIG. 3, the drug search system of the present invention includes an input unit 110 for inputting a drug name and a component name to be searched, as shown in FIG. 3, A search unit 120 for searching the drug component DB 130 for a drug name and an ingredient name based on an input of the input unit 110 and a search unit 120 for searching the individual drug side effect database 150 And a side effect retrieval unit 140 for retrieving and providing a drug having a low possibility of individual side effects by searching in the established individual side effects DB 153 of the drug.

That is, the present invention constructs a personal drug adverse event DB constructing unit 150 including individual SNP information extracted from individual base sequence information, and then inputs a product name or a component name of a drug to be prescribed or purchased at the time of prescription or purchase The search unit 120 searches for homogeneous constraints and its constituent components having the same anticipated effect and searches the individual drug side effects DB constructing unit 150 for the searched components to search for the side effects and the degree of side effects, Can be achieved by outputting in order of decreasing risk of side effects.

The input unit 110 includes an input device including a conventional keyboard or mouse capable of inputting a product name or a component name of a drug to be searched for at prescription or purchase.

The drug component DB 130 is a database constructed so as to search for homogeneous constraints and constituents having the same expected effect according to the drug name or the component name.

In order to facilitate the retrieval convenience and DB construction efficiency, the drug composition DB 130 includes a drug classification code, a drug name and a specification, a daily dose, a dosage number, a composition, a usage method, 1 as a table, and are configured to be retrieved in association with each other.

code Chemical name standard Daily dose Number of doses ingredient usage manufacture company A00304031 Tobu Tamaki 5ml / A 250mg / c 1 time Amoxixillinn Adult 2 tablets once
Fasting 3-4 times a day B04900026 Duo Sol Jung 30ml / A 100 mg / c Episode 2 Cefixim Gastric ulcer, reflux esophagitis,
Before bedtime once a day

The drug component DB as shown in Table 1 is an example. The drug component DB may be grouped according to the same type of constraints, or groups of drugs having the same constituents may be grouped into a table or classified according to treatment purpose.

For example, as shown in Table 2, it is possible to classify the product name and the component name for each therapeutic purpose and store the data in a table to construct a database.

purpose Drug name Ingredients Breast cancer chemotherapy

Cytoxan Cyclophosphamide Nolvadex Tamoxifen Taxotere Docetaxel

The search unit 120 is operated to search in the drug composition database 130 according to a drug name and a component name input from the input unit 110. [

That is, the retrieval unit 120 retrieves the drug component database 130 according to the drug name and component name input from the input unit 110, extracts homogeneous constraints having the same expected effect and its constituent components, .

These drug components can be retrieved from public or commercial drug related databases such as Rote List in Germany. As described above, when the keyword 'breast cancer chemotherapy' is input through the input unit 110 to search for a product name with an expected effect of breast cancer treatment, the search unit 120 searches the drug component database 130 Drugs such as Cyclophosphamide, Tamoxifen, and Docetaxel, which are used in the treatment, can be searched and output.

In the case of knowing only a product name of Cytoxan, Tamoxifen and Docetaxel, which have the same anticipated effect of breast cancer chemotherapy, are also searched for and the side effect searching unit 140 searches for the component name Cyclophosphamide through the same method. So that they can be compared with each other.

The SNP DB 160 is a database in which diseases, clinical information, and side effects of drugs are searched for by SNP IDs such as dbSNP, SNPedia, and Pharmgkb.

The individual drug side effect DB constructing unit 150 is operated to search for information related to side effects of drugs by individual SNPs according to the constructed drug side effect DB for each constructed SNP.

That is, when the SNP ID and the SNP base information are input through the SNP input unit 151, the SNP DB search unit 152 uses the SNP ID and the SNP input from the SNP input unit 151, SNP DB 160 stores disease, clinical information, drug side effect information, and the like for each SNP ID, searches for the presence of drug side effect information, and constructs data related to individual drug side effects.

To this end, the individual drug side effect DB constructing unit 150 includes an input unit 151 for inputting SNP information of a customer, an information search unit for searching the public or commercial SNP DB 160 for the inputted individual SNP information, And an SNP DB search unit 152 for searching the SNP DB.

And to construct the personal side effect database 153 using the searched side effects and side effects of the SNP DB retrieval unit 152.

The manner of accessing the SNP DB 160 may vary. In the case of a DB that allows only web browsing, it may happen that text mining is required in the text through the WAN. In the case of a DB that exposes DB data in a flat file through FTP (File Transfer Protocol) method, You can then build a private DB in the system with this file. In addition, there may be various methods, such as DB, which can receive results according to a predefined form if the WAN is inquired according to the promised form, but it is obvious to those skilled in the art that further description of the approach is omitted .

In addition, the SNP DB 160 exists in various forms and purposes, but information required for constructing the individual drug adverse reaction DB 153 is illustrated in Table 3.

Table 3 shows examples of information to be extracted from the SNP DB 160 in order to construct the individual drug side effect database 153. Examples of the SNP ID and SNP base and the side effects and results according to the drugs of each allele composition Data.

Name of the drug ingredient SNP ID SNP Allele Side Effects / Frequency Side effect results Cyclophosphamide Rs9561778 G; G normal T; T 2X higher Tamoxifen Rs6025 A; A risk thrombosis G; G normal Docetaxel Rs11045585 A; A 24% increase leukopenia / neutropenia A; G 63% increased leukopenia / neutropenia

If the SNP ID of the customer inputted through the SNP input unit 151 is Rs9561778 and the SNP allele is T; T, the side effect of the drug called cyclophosphamide is greater than that of the normal SNP holder The "side effects / frequency" column indicates that the potential for side effects may be more than twice as high.

As a result of the search in the SNP DB 160, if there is the SNP related side effect related information as in the above example, only the information about the corresponding SNP is stored in the individual side effect database 153.

The side effect searching unit 140 analyzes the side effects of each SNP based on the drug extracted from the searching unit 120 in the individual drug side effect DB constructing unit 150 and outputs the analyzed result.

For this purpose, the side-effect searching unit 140 receives a drug component name having the same effect with an expected effect or a product name retrieved from the search unit 120, and receives a DB component through a DB interface unit 142 And a side effect comparison operation unit 141 for comparing the side effects of each drug according to the inquiry result.

The DB interface unit 142 searches the individual drug side effects DB 153 of the individual drug side effects DB constructing unit 150 for the same kind of drugs searched in the search unit 120 to find out whether there is a SNP having a side effect.

When a search result side effect is searched in the DB interface unit 142, the side effect comparison operation unit 141 gives a risk score in consideration of occurrence frequency and results of side effects.

If the search result side effect is not found in the DB interface unit 142, the score may not be given in the risk calculation.

Table 4 is a table showing the results calculated by the side effect comparison operation unit 141.

Drug ingredient SNP ID SNP Allele Variance in risk of side effects Side effect results Cyclophosphamide Rs9561778 T; T One Docetaxel 11045585 A 0.5 ukopenia / neutropenia Tamoxifen Rs6025 G; G 0

As shown in Table 4, the retrieval unit 120 retrieved the three drug components as a result of the search in the drug component DB 130. Two of the three drugs (cyclophosphamide, Docetaxel ) It is indicated that the drug has been found to have side effects.

For Tamoxifen without side effects, the risk of adverse events was given as 0, and as shown in the SNP DB (160) example in Table 3, SNP-opposing bases (T; T) with twice or more adverse effect probes for cyclophosphamide Therefore, 0.5 point was assigned to the sample because it has a base composition (A; A) with a side effect probability of 24% for Docetaxel.

It goes without saying that this risk may vary depending on the side effect results.

For example, although the probability of side effects is lower than that of Cyclophosphamide, when docetaxel is considered to be a serious adverse reaction to leukopenia / neutropenia, Needless to say, it is necessary to make a judgment based on the risk score.

The results thus obtained can be compared with the risk of relative side effects through the result output unit 143 to indicate which drug is optimized for the patient. It also indicates what side effects are caused by the relief, and plays a role in the doctor's ultimate rational judgment. The compared results include both table and graphical representations written in the order specified in the arithmetic rules.

It should be noted that the notation of results may include all output methods through Web, mobile apps, or document outputs in portable terminals, personal computers, and server terminals such as smart phones and PDAs carried by modern people.

A method for searching by using a drug searching system that minimizes individual side effects based on individual single nucleotide polymorphisms of such a structure will be described with reference to the drawings.

FIG. 4 is a flowchart for explaining a procedure for constructing a personal drug adverse effect database. As shown in FIG. 4, a SNP ID and a SNP of a customer, such as a report obtained after analysis of individual sequence analysis or an individually purchased computer program, Base information is inputted through the SNP input unit 151 (S210).

Using the SNP ID and the SNP entered in step S210, the side effect searching unit 140 inquires the SNP DB 160 in which diseases, clinical information, drug side effect information, and the like are stored for each SNP ID such as dbSNP, SNPedia, Pharmgkb, (S220). ≪ / RTI >

It is needless to say that the method of accessing the DB as described above may be various.

In step S230, it is determined whether there is any SNP-reported side effect information in the information retrieved from the SNP DB 160. [

If there is information related to SNP related drug side effects as a result of searching the SNP DB 160 in step S230, only the information on the corresponding SNP is stored in the individual drug side effect database 153.

FIG. 4 shows an example in which a DB is constructed with one SNP. In practice, it is needless to say that it is possible to mechanically process a plurality of SNPs at a time.

When the individual drug side effect database 153 is constructed through the process of FIG. 4, a drug name or a component name of a drug to be searched at the time of prescription or purchase is searched to search for a homogeneous constraint having the same expected effect and its constituent components, The searched ingredients are each queried to the individual drug side effect database, and the side effects and side effects are searched and the results are output in order of decreasing risk of side effects, so that individual side effect minimizing drugs based on individual single base polymorphism can be searched.

This prescription process will be described with reference to the drawings.

FIG. 5 is a flowchart for explaining an adverse effect prescription step of the present invention. As shown in FIG. 5, in the DB interface unit 142, the drug ingredient name search unit 120 searches for similar drugs and inquires about similar drugs (S240) Each of the drug side effects database 153 searches the individual drug side effect database 153 for any SNPs that have a potential side effect (S241).

If a SNP having a side effect is found in step S241, the risk comparison score is given in consideration of the occurrence frequency and result of side effects in the side effect comparison operation unit 141 (S242).

If the side effect is not detected in step S241, the score may not be given in the risk calculation.

Table 4 shows the calculation results in consideration of the risk and the side effects.

As shown in Table 4, three drug components were retrieved from the drug component DB 130 in the search unit 120, and two of three drugs (Cyclophosphamide, Docetaxel ) It is indicated that the drug has been found to have side effects.

For Tamoxifen without side effects, the risk of adverse events was given as 0, and as shown in the SNP DB (160) example in Table 3, SNP-opposing bases (T; T) with twice or more adverse effect probes for cyclophosphamide Therefore, 0.5 point was assigned to the sample because it has a base composition (A; A) with a side effect probability of 24% for Docetaxel.

It goes without saying that this risk may vary depending on the side effect results.

For example, although the probability of side effects is lower than that of Cyclophosphamide, when docetaxel is considered to be a serious adverse reaction to leukopenia / neutropenia, Needless to say, it is necessary to make a judgment based on the risk score.

In the result table derived in step S242, the risk of the relative side effect is compared through the result output unit 143 to indicate which drug is optimized for the patient (S243).

In addition, it may be possible to make a doctor's final rational judgment by indicating the side effects.

In addition, the contents output from the result output unit 143 include all of the methods of marking in a table or a graph prepared in accordance with the order defined by the calculation rule. In addition, the expression of the result includes a portable terminal such as a smart phone and a PDA, It is of course possible to include all output methods through Web, Mobile App., Or document outputs at a personal computer, a server terminal, and the like.

As described above, according to the system and method for minimizing individual side effects based on the individual single nucleotide polymorphism of the present invention, a personal drug side effect database including personal SNP information extracted from individual nucleotide sequence information is constructed, And searching for each component searched for in the individual drug side effect database to search for the side effects and the degree of side effect, Can be output in order of decreasing risk, allowing the final physician or pharmacist to write a reasonable prescription.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is evident that many alternatives, modifications and variations will be apparent to those skilled in the art.

110: input unit 120:
130: Drug component DB 140: Side effect searching unit
141: side effect comparison operation unit 142: DB interface unit
143: Result output unit 150: Personal drug side effect DB component
151: SNP input unit 152: SNP DB search unit
153: Individual drug side effects DB 160: SNP DB

Claims (13)

Individual drug side effects including single nucleotide polymorphism (SNP) ID extracted from individual nucleotide sequence information and SNP information composed of SNP nucleotide information Drug component DB containing homologous pharmaceuticals having the same expected effect as that of the DB constituent and a constituent component thereof Minimizing individual side effects based on single individual polymorphisms In a drug retrieval system,
A retrieval unit for retrieving a homologous constraint and its constituent elements from the drug DB by using at least one of a product name, a component name, a therapeutic purpose, and a pharmaceutical company of the drug;
A side effect searching unit for searching the personal drug side effect database construction unit for the information retrieved from the retrieval unit and the individual SNP information to detect the side effects and the degree of side effects and outputting the retrieved results in descending order of the risk of side effects;
Minimizing individual side effects based on individual single nucleotide polymorphisms, including drug detection systems.
The method according to claim 1,
A SNP DB consisting of information on any one or more of diseases, clinical information, or side effects of drugs by SNP ID;
Wherein the individual drug side effect DB constructing unit comprises a personal drug side effect database comprising a drug side effect information database including information on drug side effects for each SNP information using the SNP DB as the SNP ID, Minimization of individual side effects based on drug detection system.
3. The method of claim 2,
The personal drug side effect DB component comprises:
An SNP input unit for inputting SNP ID and SNP base information;
An SNP DB search unit for searching SNP DB using SNP ID and SNP base information input from the SNP input unit and searching for SNP base information,
A personal drug side effect DB for constructing drug side effect information for each SNP ID and SNP base information when it is determined that SNP ID and SNP base information related drug side effect information exist in the search result;
Minimizing individual side effects based on individual single nucleotide polymorphisms, including drug detection systems.
The method of claim 3,
The individual drug side effect database
Minimization of individual side effects based on individual single nucleotide polymorphism constructed from any one or more of drug substance name, SNP ID, SNP allele, side effects / frequency, and side effect results.
5. The method of claim 4,
The side-
A DB interface unit for receiving drug component names having the same effect with an expected effect or a product name searched by the search unit and querying the personal drug side effect database for a SNP ID and SNP base information that may have side effects;
A side effect comparison operation unit for performing a comparison operation on each drug according to the inquiry result of the DB interface unit;
An output unit for outputting the comparison result of the comparison operation unit in order of decreasing risk of side effects;
Minimizing individual side effects based on individual single nucleotide polymorphisms, including drug detection systems.
6. The method of claim 5,
The side effect comparison operation unit
Wherein the DB interface unit is operated to give a risk score according to a frequency of occurrence of a side effect and a result when a search result side effect is searched in the DB interface unit.
The method according to claim 6,
The output
When the side effect comparison result of the side effect comparison operation unit is found
Minimizing individual side effects based on individual monoclonal polymorphism that outputs information on any one or more of the following: drug substance name, SNP ID, SNP allele, risk of side effects, and side effects.
And a personal drug adverse effect database including SNP information composed of individual SNP base ID information and individual SNP base ID information extracted from the individual base sequence information and having a similar drug having the same expected effect and a drug component database containing the same component A method for minimizing individual side effects based on the provided individual single nucleotide polymorphisms,
(a) constructing the individual drug side effect database and the drug ingredient database;
(b) searching for a homologous drug and its constituent components in the drug component DB by using at least one of a product name, a component name, a therapeutic purpose, and a pharmaceutical company of the drug;
(c) querying the personal drug side effect database for the same kind of drugs according to the individual SNP ID and SNP base information for the same kind of drugs investigated in the step (b);
(d) searching for SNP ID and SNP base information which may have a side effect of inquiry result in step (c); and
(e) when a SNP ID and SNP base information having a side effect are retrieved in step (d), a risk score is given based on the appearance frequency and the result of the side effect for each SNP ID and SNP base information;
To minimize individual side effects based on individual mononucleotide polymorphisms.
9. The method of claim 8,
The personal drug adverse effect DB in the step (a)
(a-1) inputting SNP ID and SNP base information, which are SNP information of the customer, through the SNP input unit;
(a-2) Using the SNP ID input in the step (a-1), SNP DB in which one or more pieces of information on diseases, clinical information, and side effects of drugs are recorded for each SNP ID, ;
(a-3) constructing data on adverse drug-related information for each SNP ID, if SNP-related drug side effects related information is found as a result of searching SNP DB;
To minimize individual side effects based on individual mononucleotide polymorphisms.
10. The method of claim 9,
The step (a-3)
A method for minimizing individual side effects based on individual single nucleotide polymorphisms that constructs a personal drug adverse event database with at least one of drug ingredient name, SNP ID, SNP allele, side effects and frequency, and side effect results.
9. The method of claim 8,
The drug component DB in the step (a)
A method for minimizing individual side effects based on individual single nucleotide polymorphism constructed in a table linked to classification code, drug name and specification, daily dose, administration frequency, usage or manufacturer information.
9. The method of claim 8,
The step (e)
The method according to any one of claims 1 to 3, further comprising the step of, when the side effect of the search result is detected, outputting in descending order of the risk of adverse effect according to the SNP ID and the SNP base information and the risk score according to the adverse reaction frequency and adverse effect result. Methods of drug discovery.













delete

Images